Blocker Description
Spark sql commands are failing on select Queries for the orc tables
Steps to reproduce
val table = """CREATE TABLE `date_dim` ( `d_date_sk` INT, `d_date_id` STRING, `d_date` TIMESTAMP, `d_month_seq` INT, `d_week_seq` INT, `d_quarter_seq` INT, `d_year` INT, `d_dow` INT, `d_moy` INT, `d_dom` INT, `d_qoy` INT, `d_fy_year` INT, `d_fy_quarter_seq` INT, `d_fy_week_seq` INT, `d_day_name` STRING, `d_quarter_name` STRING, `d_holiday` STRING, `d_weekend` STRING, `d_following_holiday` STRING, `d_first_dom` INT, `d_last_dom` INT, `d_same_day_ly` INT, `d_same_day_lq` INT, `d_current_day` STRING, `d_current_week` STRING, `d_current_month` STRING, `d_current_quarter` STRING, `d_current_year` STRING) USING orc LOCATION '/Users/test/tpcds_scale5data/date_dim' TBLPROPERTIES ( 'transient_lastDdlTime' = '1574682806')""" spark.sql(table).collect val u = """select date_dim.d_date_id from date_dim limit 5""" spark.sql(u).collect
Exception
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, 192.168.0.103, executor driver): java.lang.ArrayIndexOutOfBoundsException: 1
at org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.initBatch(OrcColumnarBatchReader.java:156)
at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$7(OrcFileFormat.scala:258)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:141)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:203)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:620)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:343)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:895)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:895)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:372)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:336)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:133)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:445)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1489)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:448)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
The reason behind this initBatch is not getting the schema that is needed to find out the column value in OrcFileFormat.scala
batchReader.initBatch( TypeDescription.fromString(resultSchemaString)
Query is working if
val u = """select * from date_dim limit 5"""
